{"id":"W2306597854","doi":"10.1111/1365-2664.12658","title":"Caribou avoiding wolves face increased predation by bears – <scp>C</scp>aught between <scp>S</scp>cylla and <scp>C</scp>harybdis","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Center for Northern Studies; Université du Québec à Rimouski","funders":"Russian Science Foundation","keywords":"Predation; Foraging; Ursus; Biology; Canis; Ecology; Predator; Forage; Habitat; Selection (genetic algorithm); Zoology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001706855,0.0004190541,0.0007325307,0.0002193146,0.0005611586,0.00008044726,0.000584509,0.0006624028,0.000171635],"category_scores_gemma":[0.001913773,0.0003511689,0.0001431899,0.0003507936,0.0005406654,0.0007293092,0.0003318717,0.0006922035,0.0003228615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130257,"about_ca_system_score_gemma":0.0001155253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000665724,"about_ca_topic_score_gemma":0.0001786935,"domain_scores_codex":[0.9967397,0.0003171705,0.001010916,0.0006109254,0.0004661218,0.0008551393],"domain_scores_gemma":[0.9921742,0.005794711,0.001216665,0.0003191179,0.00006003625,0.000435286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001475837,0.0001552232,0.803449,0.00001922125,0.0002011045,0.00002059305,0.001436553,0.0001572061,0.0290948,0.0001990817,0.1636629,0.001589543],"study_design_scores_gemma":[0.0021657,0.0004231897,0.9243149,0.00003028542,0.0002081686,0.00008543022,0.002086967,0.00008090195,0.01123055,0.003398335,0.05589293,0.0000826258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905455,0.0001480547,0.001009146,0.0007967521,0.0003367852,0.0004705655,0.00007487165,0.00005372343,0.006564581],"genre_scores_gemma":[0.995391,0.0003042351,0.0006888609,0.001008441,0.0003212695,0.00004575637,0.0000508445,0.0000484851,0.002141179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208659,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008147448786175834,"score_gpt":0.2067191462000119,"score_spread":0.1985716974138361,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}